flink-python/docs/locales/zh/LC_MESSAGES/user_guide/python_repl.po - flink - Git at Google

 # Licensed to the Apache Software Foundation (ASF) under one
 # or more contributor license agreements.  See the NOTICE file
 # distributed with this work for additional information
 # regarding copyright ownership.  The ASF licenses this file
 # to you under the Apache License, Version 2.0 (the
 # "License"); you may not use this file except in compliance
 # with the License.  You may obtain a copy of the License at
 #
 #   http://www.apache.org/licenses/LICENSE-2.0
 #
 # Unless required by applicable law or agreed to in writing,
 # software distributed under the License is distributed on an
 # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
 #
 # SOME DESCRIPTIVE TITLE.
 # Copyright (C)
 # This file is distributed under the same license as the PyFlink package.
 # FIRST AUTHOR <EMAIL@ADDRESS>, 2026.
 #
 #, fuzzy
 msgid ""
 msgstr ""
 "Project-Id-Version: PyFlink 2.3.dev0\n"
 "Report-Msgid-Bugs-To: \n"
 "POT-Creation-Date: 2026-02-11 10:53+0100\n"
 "PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
 "Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
 "Language: zh\n"
 "Language-Team: zh <LL@li.org>\n"
 "Plural-Forms: nplurals=1; plural=0;\n"
 "MIME-Version: 1.0\n"
 "Content-Type: text/plain; charset=utf-8\n"
 "Content-Transfer-Encoding: 8bit\n"
 "Generated-By: Babel 2.18.0\n"

 #: ../../user_guide/python_repl.rst:21
 msgid "Python REPL"
 msgstr "Python REPL"

 #: ../../user_guide/python_repl.rst:23
 msgid ""
 "Flink comes with an integrated interactive Python Shell. It can be used "
 "in a local setup as well as in a cluster setup. See the "
 ":flinkdoc:`standalone resource provider page <docs/deployment/resource-"
 "providers/standalone/overview/>` for more information about how to setup "
 "a local Flink. You can also `build a local setup from source "
 "<https://github.com/apache/flink#building-apache-flink-from-source>`_."
 msgstr ""
 "Flink附带了一个集成的交互式Python Shell。"
 "它既能够运行在本地启动的local模式，也能够运行在集群启动的cluster模式下。"
 "本地安装Flink，请看 "
 ":flinkdoc:`本地安装 <docs/deployment/resource-"
 "providers/standalone/overview/>` 页面。"
 "您也可以 `从源码构建 Flink "
 "<https://github.com/apache/flink#building-apache-flink-from-source>`_ 。"

 #: ../../user_guide/python_repl.rst:29
 msgid ""
 "The Python Shell will run the command \"python\". Please refer to the "
 ":flinkdoc:`First Steps guide <docs/getting-started/local_installation/>` "
 "for PyFlink installation instructions."
 msgstr ""
 "Python Shell会调用\"python\"命令。关于 PyFlink 安装说明，请参考 "
 ":flinkdoc:`第一步指南 <docs/getting-started/local_installation/>` 。"

 #: ../../user_guide/python_repl.rst:32
 msgid ""
 "To use the shell with an integrated Flink cluster, you can simply install"
 " PyFlink with PyPi and execute the shell directly:"
 msgstr ""
 "你可以通过PyPi安装PyFlink，然后使用Python Shell:"

 #: ../../user_guide/python_repl.rst:41
 msgid "To run the shell on a cluster, please see the Setup section below."
 msgstr "关于如何在一个Cluster集群上运行Python shell，可以参考启动章节介绍。"

 #: ../../user_guide/python_repl.rst:44
 msgid "Usage"
 msgstr "使用"

 #: ../../user_guide/python_repl.rst:46
 msgid ""
 "The shell only supports Table API currently. The Table Environments are "
 "automatically prebound after startup. Use \"bt_env\" and \"st_env\" to "
 "access BatchTableEnvironment and StreamTableEnvironment respectively."
 msgstr ""
 "当前Python shell支持Table API的功能。"
 "在启动之后，Table Environment的相关内容将会被自动加载。"
 "可以通过变量\"bt_env\"来使用BatchTableEnvironment，"
 "通过变量\"st_env\"来使用StreamTableEnvironment。"

 #: ../../user_guide/python_repl.rst:51
 msgid "Table API"
 msgstr "Table API"

 #: ../../user_guide/python_repl.rst:53
 msgid "The example below is a simple program in the Python shell:"
 msgstr "下面是一个通过Python Shell 运行的简单示例:"

 #: ../../user_guide/python_repl.rst:55
 msgid "**Streaming:**"
 msgstr "**Streaming:**"

 #: ../../user_guide/python_repl.rst:87
 msgid "**Batch:**"
 msgstr "**Batch:**"

 #: ../../user_guide/python_repl.rst:120
 msgid "Setup"
 msgstr "启动"

 #: ../../user_guide/python_repl.rst:122
 msgid "To get an overview of what options the Python Shell provides, please use"
 msgstr "查看Python Shell提供的可选参数，可以使用:"

 #: ../../user_guide/python_repl.rst:129
 msgid "Local"
 msgstr "Local"

 #: ../../user_guide/python_repl.rst:131
 msgid "To use the shell with an integrated Flink cluster just execute:"
 msgstr "Python Shell运行在local模式下，只需要执行:"

 #: ../../user_guide/python_repl.rst:138
 msgid "Remote"
 msgstr "Remote"

 #: ../../user_guide/python_repl.rst:140
 msgid ""
 "To use it with a running cluster, please start the Python shell with the "
 "keyword ``remote`` and supply the host and port of the JobManager with:"
 msgstr ""
 "Python Shell运行在一个指定的JobManager上，通过关键字 ``remote`` "
 "和对应的JobManager的地址和端口号来进行指定:"

 #: ../../user_guide/python_repl.rst:148
 msgid "Yarn Python Shell cluster"
 msgstr "Yarn Python Shell cluster"

 #: ../../user_guide/python_repl.rst:150
 msgid ""
 "The shell can deploy a Flink cluster to YARN, which is used exclusively "
 "by the shell. The shell deploys a new Flink cluster on YARN and connects "
 "the cluster. You can also specify options for YARN cluster such as memory"
 " for JobManager, name of YARN application, etc."
 msgstr ""
 "Python Shell可以运行在YARN集群之上。Python shell在Yarn上部署一个新的Flink集群，"
 "并进行连接。除了指定container数量，你也可以指定JobManager的内存，"
 "YARN应用的名字等参数。"

 #: ../../user_guide/python_repl.rst:156
 msgid ""
 "For example, to start a Yarn cluster for the Python Shell with two "
 "TaskManagers use the following:"
 msgstr ""
 "例如，在一个部署了两个TaskManager的Yarn集群上运行Python Shell:"

 #: ../../user_guide/python_repl.rst:163
 msgid "For all other options, see the full reference at the bottom."
 msgstr "关于所有可选的参数，可以查看本页面底部的完整说明。"

 #: ../../user_guide/python_repl.rst:166
 msgid "Yarn Session"
 msgstr "Yarn Session"

 #: ../../user_guide/python_repl.rst:168
 msgid ""
 "If you have previously deployed a Flink cluster using the Flink Yarn "
 "Session, the Python shell can connect with it using the following "
 "command:"
 msgstr ""
 "如果你已经通过Flink Yarn Session部署了一个Flink集群，"
 "能够通过以下的命令连接到这个集群:"

 #: ../../user_guide/python_repl.rst:176
 msgid "Full Reference"
 msgstr "完整的参考"
	# Licensed to the Apache Software Foundation (ASF) under one
	# or more contributor license agreements. See the NOTICE file
	# distributed with this work for additional information
	# regarding copyright ownership. The ASF licenses this file
	# to you under the Apache License, Version 2.0 (the
	# "License"); you may not use this file except in compliance
	# with the License. You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing,
	# software distributed under the License is distributed on an
	# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
	# KIND, either express or implied. See the License for the
	# specific language governing permissions and limitations
	# under the License.
	#
	# SOME DESCRIPTIVE TITLE.
	# Copyright (C)
	# This file is distributed under the same license as the PyFlink package.
	# FIRST AUTHOR <EMAIL@ADDRESS>, 2026.
	#
	#, fuzzy
	msgid ""
	msgstr ""
	"Project-Id-Version: PyFlink 2.3.dev0\n"
	"Report-Msgid-Bugs-To: \n"
	"POT-Creation-Date: 2026-02-11 10:53+0100\n"
	"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
	"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
	"Language: zh\n"
	"Language-Team: zh <LL@li.org>\n"
	"Plural-Forms: nplurals=1; plural=0;\n"
	"MIME-Version: 1.0\n"
	"Content-Type: text/plain; charset=utf-8\n"
	"Content-Transfer-Encoding: 8bit\n"
	"Generated-By: Babel 2.18.0\n"

	#: ../../user_guide/python_repl.rst:21
	msgid "Python REPL"
	msgstr "Python REPL"

	#: ../../user_guide/python_repl.rst:23
	msgid ""
	"Flink comes with an integrated interactive Python Shell. It can be used "
	"in a local setup as well as in a cluster setup. See the "
	":flinkdoc:`standalone resource provider page <docs/deployment/resource-"
	"providers/standalone/overview/>` for more information about how to setup "
	"a local Flink. You can also `build a local setup from source "
	"<https://github.com/apache/flink#building-apache-flink-from-source>`_."
	msgstr ""
	"Flink附带了一个集成的交互式Python Shell。"
	"它既能够运行在本地启动的local模式，也能够运行在集群启动的cluster模式下。"
	"本地安装Flink，请看 "
	":flinkdoc:`本地安装 <docs/deployment/resource-"
	"providers/standalone/overview/>` 页面。"
	"您也可以 `从源码构建 Flink "
	"<https://github.com/apache/flink#building-apache-flink-from-source>`_ 。"

	#: ../../user_guide/python_repl.rst:29
	msgid ""
	"The Python Shell will run the command \"python\". Please refer to the "
	":flinkdoc:`First Steps guide <docs/getting-started/local_installation/>` "
	"for PyFlink installation instructions."
	msgstr ""
	"Python Shell会调用\"python\"命令。关于 PyFlink 安装说明，请参考 "
	":flinkdoc:`第一步指南 <docs/getting-started/local_installation/>` 。"

	#: ../../user_guide/python_repl.rst:32
	msgid ""
	"To use the shell with an integrated Flink cluster, you can simply install"
	" PyFlink with PyPi and execute the shell directly:"
	msgstr ""
	"你可以通过PyPi安装PyFlink，然后使用Python Shell:"

	#: ../../user_guide/python_repl.rst:41
	msgid "To run the shell on a cluster, please see the Setup section below."
	msgstr "关于如何在一个Cluster集群上运行Python shell，可以参考启动章节介绍。"

	#: ../../user_guide/python_repl.rst:44
	msgid "Usage"
	msgstr "使用"

	#: ../../user_guide/python_repl.rst:46
	msgid ""
	"The shell only supports Table API currently. The Table Environments are "
	"automatically prebound after startup. Use \"bt_env\" and \"st_env\" to "
	"access BatchTableEnvironment and StreamTableEnvironment respectively."
	msgstr ""
	"当前Python shell支持Table API的功能。"
	"在启动之后，Table Environment的相关内容将会被自动加载。"
	"可以通过变量\"bt_env\"来使用BatchTableEnvironment，"
	"通过变量\"st_env\"来使用StreamTableEnvironment。"

	#: ../../user_guide/python_repl.rst:51
	msgid "Table API"
	msgstr "Table API"

	#: ../../user_guide/python_repl.rst:53
	msgid "The example below is a simple program in the Python shell:"
	msgstr "下面是一个通过Python Shell 运行的简单示例:"

	#: ../../user_guide/python_repl.rst:55
	msgid "Streaming:"
	msgstr "Streaming:"

	#: ../../user_guide/python_repl.rst:87
	msgid "Batch:"
	msgstr "Batch:"

	#: ../../user_guide/python_repl.rst:120
	msgid "Setup"
	msgstr "启动"

	#: ../../user_guide/python_repl.rst:122
	msgid "To get an overview of what options the Python Shell provides, please use"
	msgstr "查看Python Shell提供的可选参数，可以使用:"

	#: ../../user_guide/python_repl.rst:129
	msgid "Local"
	msgstr "Local"

	#: ../../user_guide/python_repl.rst:131
	msgid "To use the shell with an integrated Flink cluster just execute:"
	msgstr "Python Shell运行在local模式下，只需要执行:"

	#: ../../user_guide/python_repl.rst:138
	msgid "Remote"
	msgstr "Remote"

	#: ../../user_guide/python_repl.rst:140
	msgid ""
	"To use it with a running cluster, please start the Python shell with the "
	"keyword ``remote`` and supply the host and port of the JobManager with:"
	msgstr ""
	"Python Shell运行在一个指定的JobManager上，通过关键字 ``remote`` "
	"和对应的JobManager的地址和端口号来进行指定:"

	#: ../../user_guide/python_repl.rst:148
	msgid "Yarn Python Shell cluster"
	msgstr "Yarn Python Shell cluster"

	#: ../../user_guide/python_repl.rst:150
	msgid ""
	"The shell can deploy a Flink cluster to YARN, which is used exclusively "
	"by the shell. The shell deploys a new Flink cluster on YARN and connects "
	"the cluster. You can also specify options for YARN cluster such as memory"
	" for JobManager, name of YARN application, etc."
	msgstr ""
	"Python Shell可以运行在YARN集群之上。Python shell在Yarn上部署一个新的Flink集群，"
	"并进行连接。除了指定container数量，你也可以指定JobManager的内存，"
	"YARN应用的名字等参数。"

	#: ../../user_guide/python_repl.rst:156
	msgid ""
	"For example, to start a Yarn cluster for the Python Shell with two "
	"TaskManagers use the following:"
	msgstr ""
	"例如，在一个部署了两个TaskManager的Yarn集群上运行Python Shell:"

	#: ../../user_guide/python_repl.rst:163
	msgid "For all other options, see the full reference at the bottom."
	msgstr "关于所有可选的参数，可以查看本页面底部的完整说明。"

	#: ../../user_guide/python_repl.rst:166
	msgid "Yarn Session"
	msgstr "Yarn Session"

	#: ../../user_guide/python_repl.rst:168
	msgid ""
	"If you have previously deployed a Flink cluster using the Flink Yarn "
	"Session, the Python shell can connect with it using the following "
	"command:"
	msgstr ""
	"如果你已经通过Flink Yarn Session部署了一个Flink集群，"
	"能够通过以下的命令连接到这个集群:"

	#: ../../user_guide/python_repl.rst:176
	msgid "Full Reference"
	msgstr "完整的参考"